The Robotics Institute

RI | Seminar | January 30

Robotics Institute Seminar, January 30
Time and Place | Seminar Abstract | Speaker Biography | Speaker Appointments

Robotic Hide-and-Seek

Geoff Gordon
CALD, Carnegie Mellon

 

Time and Place

Mauldin Auditorium (NSH 1305)
Refreshments 3:15 pm
Talk 3:30 pm

 

Abstract

Robots in the real world can't plan in isolation. Instead, they need to worry about external forces which can change their environment while they're not looking. Unfortunately, reasoning exactly about external agents often results in intractable planning problems. Using the running example of teaching robots to play hide and seek with each other, I will describe several new general tools for simplifying and abstracting multi-robot planning problems.  These tools include nonlinear dimensionality reduction and no-regret reasoning.

 

 

Speaker Biography

Dr. Gordon is a Research Scientist in the Center for Automated Learning and Discovery at CMU and a Visiting Professor in the Stanford Computer Science Department.  He works on multi-robot systems, statistical machine learning, and planning in probabilistic and adversarial domains. Before joining CALD, Dr. Gordon worked at Burning Glass Technologies in San Diego, where he analyzed databases of human-resources documents to discover patterns that can inform hiring decisions.  Dr. Gordon received his B.A. in Computer Science from Cornell University in 1991, and his Ph.D. in Computer Science from Carnegie Mellon University in 1999.

 

 

Related Material

 

 

 

 

Speaker Appointments

For appointments, please contact Geoffrey Gordon

The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.